A Wireless Sensor Network Based Solar Powered Harvesting System for Aquaculture

Daudi Samson Simbeye

Daudi Samson Simbeye Dares Salaam Institute of Technology, Computer Studies Department, P. O. Box 2958 Dares Salaam, Tanzania

Keywords: WSN, solar energy, MPPT, aquaculture

Abstract

Despite improvements in battery technology and declines in electronics power demands, many new applications in wireless sensor networks (WSNs) are taking into account increasing power requirements. Furthermore, since in WSNs it is frequently desirable to deploy nodes in unobtainable places, it might be impossible to provide large enough power for such applications given the fact that battery replacement is not practicable. This results in significant interests in designing sensor nodes with the capability of extracting electrical energy from surrounding ambient sources. The ultimate goal of this research is to achieve a perpetually powered system without a necessary periodical maintenance for battery replacement or recharging. The energy harvesting system developed for this research has been experimentally verified and can increase the lifetime of an entire network to reach that of its individual hardware components. We realized a maximum power point tracking (MPPT) algorithm that could switch power source according to light conditions to ensure the continuous stable operation.

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References

Beeby, S., & White, N. (2010). Energy harvesting for autonomous systems: Artech House.

Jalali, F., Khodadoustan, S., & Ejlali, A. (2012). Cooperative hybrid ARQ in solar powered wireless sensor networks. Microelectronics Reliability, 52(12), 3043-3052.

Lalitha, A., Mondal, S., Kumar, S., & Sharma, V. (2013). Power-optimal scheduling for a green base station with delay constraints. Paper presented at the Communications (NCC), 2013 National Conference on.

Brunelli, D., Benini, L., Moser, C., & Thiele, L. (2008). An efficient solar energy harvester for wireless sensor nodes. Paper presented at the Proceedings of the conference on Design, automation and test in Europe.

Mouse, E. (2006). Mouser Electronics, Energy Harvesting Technology. Retrieved from http://in.mouser.com/applications/energy_harvesting_solar/, a.

Raghunathan, V., Kansal, A., Hsu, J., Friedman, J., & Srivastava, M. (2005). Design considerations for solar energy harvesting wireless embedded systems. Paper presented at the Proceedings of the 4th international symposium on Information processing in sensor networks.

Simbeye, D. S., Zhao, J., & Yang, S. (2014). Design and deployment of wireless sensor networks for aquaculture monitoring and control based on virtual instruments. Computers and Electronics in Agriculture, 102, 31-42.

Basagni, S., Conti, M., Giordano, S., & Stojmenovic, I. (2013). Mobile Ad Hoc networking: the cutting edge directions (Vol. 35): John Wiley & Sons.

Corke, P., Valencia, P., Sikka, P., Wark, T., & Overs, L. (2007). Long-duration solar-powered wireless sensor networks. Paper presented at the Proceedings of the 4th workshop on Embedded networked sensors.

Dondi, D., Bertacchini, A., Larcher, L., Pavan, P., Brunelli, D., & Benini, L. (2008). A solar energy harvesting circuit for low power applications. Paper presented at the Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on.

Zhang, S.-Y., Li, G., Wu, H.-B., Liu, X.-G., Yao, Y.-H., Tao, L., et al. (2011). An integrated recirculating aquaculture system (RAS) for land-based fish farming: The effects on water quality and fish production. aquacultural Engineering, 45(3), 93-102.

Taneja, J., Jeong, J., & Culler, D. (2008). Design, modeling, and capacity planning for micro-solar power sensor networks. Paper presented at the Proceedings of the 7th international conference on Information processing in sensor networks.

HU, M.-c., ZHANG, Y.-c., WANG, W.-l., TANG, X.-y., & WANG, J.-h. (2010). Wind and Solar Energy Powered Water Purification System of Aerobic Biological Contact Oxidation. Journal of Ecology and Rural Environment, S1

Yue, R., & Ying, T. (2011). A water quality monitoring system based on wireless sensor network & solar power supply. Paper presented at the Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2011 IEEE International Conference on.

Tafticht, T., Agbossou, K., Doumbia, M., & Cheriti, A. (2008). An improved maximum power point tracking method for photovoltaic systems. Renewable energy, 33(7), 1508-1516.

Nguyen, T.L. and Low, K.S., 2010. A global maximum power point tracking scheme employing DIRECT search algorithm for photovoltaic systems. IEEE transactions on Industrial Electronics, 57(10), pp.3456-3467.

Noguchi, T., Togashi, S., & Nakamoto, R. (2002). Short-current pulse-based maximum-power-point tracking method for multiple photovoltaic-and-converter module system. IEEE Transactions on Industrial Electronics, 49(1), 217-223.

Houssamo, I., Locment, F., & Sechilariu, M. (2010). Maximum power tracking for photovoltaic power system: Development and experimental comparison of two algorithms. Renewable energy, 35(10), 2381-2387.

Bruendlinger, R., Bletterie, B., Milde, M., & Oldenkamp, H. (2006). Maximum power point tracking performance under partially shaded PV array conditions. Proc. 21st EUPVSEC, 2157-2160.

Piegari, L., & Rizzo, R. (2010). Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking. IET Renewable Power Generation, 4(4), 317-328.

Qian, H., Sun, P., & Rong, Y. (2012). Design proposal of self-powered WSN node for battle field surveillance. Energy Procedia, 16, 753-757.

Ji, Y.-H., Jung, D.-Y., Kim, J.-G., Kim, J.-H., Lee, T.-W., & Won, C.-Y. (2011). A real maximum power point tracking method for mismatching compensation in PV array under partially shaded conditions. IEEE Transactions on power electronics, 26(4), 1001-1009.

Mei, Q., Shan, M., Liu, L., & Guerrero, J. M. (2011). A novel improved variable step-size incremental-resistance MPPT method for PV systems. IEEE Transactions on Industrial Electronics, 58(6), 2427-2434.

Chen, W., Andreopoulos, Y., Wassell, I. J., & Rodrigues, M. R. (2013). Towards energy neutrality in energy harvesting wireless sensor networks: A case for distributed compressive sensing? Paper presented at the Global Communications Conference (GLOBECOM), 2013 IEEE.

La Porta, T., Petrioli, C., & Spenza, D. (2011). Sensor-mission assignment in wireless sensor networks with energy harvesting. Paper presented at the Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2011 8th Annual IEEE Communications Society Conference on.

Magno, M., Brunelli, D., Zappi, P., & Benini, L. (2010). Energy efficient cooperative multimodal ambient monitoring. Paper presented at the European Conference on Smart Sensing and Context.

Nishimoto, H., Kawahara, Y., & Asami, T. (2010). Prototype implementation of ambient RF energy harvesting wireless sensor networks. Paper presented at the Sensors, 2010 IEEE.

Zungeru, A. M., Ang, L.-M., Prabaharan, S., & Seng, K. P. (2012). Radio frequency energy harvesting and management for wireless sensor networks. Green mobile devices and networks: Energy optimization and scavenging techniques, 341-368.

Johnson, R. D., & Holbrow, C. (1977). Space Settlements. A Design Study. NASA, Washington, SP-413.

Dewan, A., Ay, S. U., Karim, M. N., & Beyenal, H. (2014). Alternative power sources for remote sensors: A review. Journal of Power Sources, 245, 129-143.

You, G., Yang, S., Li, J., Hou, Y., Wang, X., Nan, Z., et al. (2012). Solar oxygenation system for aquaculture and running effect. Transactions of the Chinese Society of Agricultural Engineering, 28(13), 191-198.

Yang, H., Zhou, W., Lu, L., & Fang, Z. (2008). Optimal sizing method for stand-alone hybrid solar–wind system with LPSP technology by using genetic algorithm. Solar energy, 82(4), 354-367.

Manganiello, P., Ricco, M., Monmasson, E., Petrone, G., & Spagnuolo, G. (2013). On-line optimization of the P&O MPPT method by means of the system identification. Paper presented at the Industrial Electronics Society, IECON 2013-39th Annual Conference of the IEEE.